Krishnakumar Chandran

Timeline

Automation of Linux server provisioning

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Highlights 🔗

  • Developed automation solution for provisioning linux server in on-perm and cloud data center
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Development of Key Performance Indicator report for UPS demo run

Highlights 🔗

  • Developed KPI report dashboard for UPS demo
more...

Image captioning using CNN and LSTM

Highlights 🔗

  • Image captioning is achieved by using Convolutional Neural Networks and Long Short Time Memory model
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Log monitoring and Dashboard creation using ELK stack

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Highlights 🔗

  • Developed data pipelines for log data streams using filebeat and metricbeat
  • Developed grok filters in logstash for pattern matching and log filtering
  • Collected metrics and analytics are displayed in the dashboard created in
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Solution Architect, Tata Consultancy Services

Work Experience 🔗

Full-time

Jul 2019 to Sep 2021
Farmington hills, Michigan, US

Highlights 🔗

  • Lead production deployment of ignioâ„¢ AIOps and ignioâ„¢ AI.Digital Workspace
  • Coded self-healing apps for handling Linux, Database, and Application alerts, resolving alerts within 10 secs
  • Developed VM provisioning and Linux Administration scripts, automating 90% of the Onboarding process
  • Experience in deploying ignioâ„¢ with High availability (HA) in distributed cloud platform using Ansible playbook
  • Deployed Java applications in Apache Tomcat, Wild ly and managed microservices with Eureka Service Registry
  • Built log stream pipeline with Elasticsearch, Logstash, Kibana, and Beats, reducing the debugging time by 90%
more...

Prediction of CNC machine failire

Categories: Data Science
Skills: python matlab

Highlights 🔗

  • Developed ML algorithm for prediction of CNC bearing failures
more...

Facial Keypoint Detection using CNN

Highlights 🔗

  • Built a custom CNN Deep learning regression model and trained to predict facial keypoints
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Full Stack Developer, University of Cincinnati

Work Experience 🔗

Internship

Jun 2018 to Dec 2018

Intelligent Maintenance Systems Lab, UC CEAS

Cincinnati, Ohio, US

Highlights 🔗

  • Lead production deployment of ignioâ„¢ AIOps and ignioâ„¢ AI.Digital Workspace
  • Coded self-healing apps for handling Linux, Database, and Application alerts, resolving alerts within 10 secs
  • Developed VM provisioning and Linux Administration scripts, automating 90% of the Onboarding process
  • Experience in deploying ignioâ„¢ with High availability (HA) in distributed cloud platform using Ansible playbook
  • Deployed Java applications in Apache Tomcat, Wild ly and managed microservices with Eureka Service Registry
  • Built log stream pipeline with Elasticsearch, Logstash, Kibana, and Beats, reducing the debugging time by 90%
more...

I'm Krishna

Software Engineer